Perceptual and Physical Space of Vowel Sounds

Pols, L.C.W.; Kamp, Leo J. Th. van der; Plomp, R.

doi:10.1121/1.1911711

Cited by 150 publications

(66 citation statements)

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“…However, the harmonic spectrum is also important in perceptions of timbre (Handel, 1989;Houtsma, 1997;Moore, 1997). Subjective judgments of differences in sound quality are related to differences in the level of a sound in each frequency band (e.g., Plomp, 1976;Pols, Kamp, & Plomp, 1969). Using formants to operationalize timbre could take advantage of the salience of changes in the harmonic spectrum and might therefore be less vulnerable to confusion with pitch changes.…”

Section: Methodsmentioning

confidence: 99%

Sonification design for complex work domains: Dimensions and distractors.

Anderson¹,

Sanderson²

2009

Journal of Experimental Psychology: Applied

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Sonification-representing data in sound-is a potential method for supporting human operators who have to monitor dynamic processes. Previous research has investigated a limited number of sound dimensions and has not systematically investigated the impact of dimensional interactions on sonification effectiveness. In three experiments the authors investigated accuracy for identifying changes in six target auditory dimensions of a continuous pulse stream under three conditions: no distractor, one distractor, and five distractors. In Experiment 1 amplitude, frequency, harmonics, speed, tremolo (cycles per pulse), and width were tested. Accuracy and patterns of interaction between the dimensions were mapped. In Experiment 2 the same dimensions were tested but tremolo was operationalized as cycles per second (Hz). The patterns of interaction between the temporal dimensions differed from Experiment 1. In Experiment 3 the amplitude contour of the pulse stream was changed. The dimensions tested were amplitude, frequency, formants, speed, tremolo (cycles per period), and width. Results showed low accuracy for formants and many interactions, both positive and negative between the dimensions. The authors interpret the results in terms of theories of perceptual interference in auditory dimensions.

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Section: Methodsmentioning

confidence: 99%

Sonification design for complex work domains: Dimensions and distractors.

Anderson¹,

Sanderson²

2009

Journal of Experimental Psychology: Applied

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“…That procedure was chosen because it had proven useful in previous vowel research. More than a decade ago, Pols and his associates (Pols, van der Kamp, & Plomp, 1969;Pols, Tromp, & Plomp, 1973) assessed the perceived vowel quality of spectrally constant speechlike sounds by requiring that subjects compare triplets of stimuli on a trial. Specifically, subjects were required to judge which two members of a triplet sounded most alike to them and which two least alike.…”

Section: Methodsmentioning

confidence: 99%

Vowels in consonantal context are perceived more linguistically than are isolated vowels: Evidence from an individual differences scaling study

Rakerd

1984

Perception & Psychophysics

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“…MDS procedures have been used successfully to identify psychological dimensions underlying the perception of speech sounds (e.g., Klein, Plomp, & Pols, 1970;Pols, Van der Kamp, & Plomp, 1969;Shaw, 1975;Shepard, 1972), complex, nonspeech sounds (e.g., Howard, 1977;Howard & Silverman, 1976;Miller & Carterette, 1975;Morgan, Woodhead, & Webster, 1976;Plomp & Steeneken, 1969), and complex visual patterns (e.g., Pachella & Somers, in press;Shepard & Chipman, 1970;Stenson, 1968;Hardzinski & Pachella, Note 1). In this context, success has usually meant that the derived multidimensional space accounts for a large proportion of the variability in the similarity judgments and that the revealed identity of the psychological dimensions is intuitively reasonable.…”

Section: The Multidimensional Perceptual Spacementioning

confidence: 99%

On the prediction of confusion matrices from similarity judgments

Getty¹,

Swets²,

Swets³

et al. 1979

Perception & Psychophysics

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Three observers viewed visual representations of eight complex sounds in both a pairwise similarity-judgment task and an identification task. A multidimensional scaling procedure applied to the similarity judgments yielded a three-dimensional perceptual space and the relative positions of the stimuli in that space. A probabilistic decision model based on weighted interstimulus distances served to predict well the confusion matrices of the identification task. Three conditions of the identification task, calling for identification of different subsets of the eight stimuli, led the observers to vary the weights they placed on the dimensions; they apparently adjusted the weights to maximize the percent correct identification. An additional group of 14 subjects, participating only in the similarity-judgment task, manifested the same three dimensions as the observers (corresponding to the locus of low-frequency energy, the locus of midfrequency energy, and visual contrast), and also a fourth dimension (corresponding to the periodicity, or waxing and waning, of the sound). Although not evident in the scaling analysis for the three observers, our utilization of the additional dimension increased significantly the variance accounted for in their identification responses. The overall accuracy of the predictions from a perceptual space to identification responses supplies a substantial validation of the use of multidimensional scaling procedures to reveal perceptual structure in demonstrating the ability of that structure to account for behavior in an independent task. The empirical success of this approach, furthermore, suggests a relatively simple and practical means of predicting, and possibly enhancing, identification performance for a given set of visual or auditory stimuli.A reasonably complete account of the process by which humans are able to identify complex auditory or visual stimuli must address two issues: (I) the nature of the psychological representation of complex stimuli, and (2) the nature of the decision processes that act upon the internal representations to yield an identification response. While there has been substantial research directed at the representation and decision processes separately, there has been much less effort directed towards understanding the integration of these processes in the identification of complex stimuli. Our major concern in this paper is with the relationship between perceptual representation and identification performance. The question is, given specific assumptions about the structure of the perceptual space, how well can we account for the pattern of responses observed in an identification task?Our approach to the problem involves two parts: (I) the derivation of a multidimensional perceptual space for a set of complex stimuli from the application of a multidimensional scaling (MDS) procedure to judgments of stimulus similarity, and (2) the use This research was supported by a contract with the Engineering Psychology Programs, Office of Naval Research. We thank Barbara...

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Perceptual and Physical Space of Vowel Sounds

Cited by 150 publications

References 0 publications

Sonification design for complex work domains: Dimensions and distractors.

Sonification design for complex work domains: Dimensions and distractors.

Vowels in consonantal context are perceived more linguistically than are isolated vowels: Evidence from an individual differences scaling study

On the prediction of confusion matrices from similarity judgments

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